Sassenhagen, Jona and Phillip M. Alday (under review): A common misapplication of statistical inference: nuisance control with null-hypothesis significance tests. Brain & Language. arXiv preprint. Repository.
The title will probably change in the near feature, as some of our initial reviewer feedback has been some very helpful terminological suggestions.
Run the following command in R:
# make sure shiny is installed
if(!require(shiny)){
install.packages("shiny")
library(shiny)
}
runGitHub("statfail",username="jona-sassenhagen",ref="master",subdir="simulation")
A Shiny app that allows you to more closely individual simulated experiments for a given set of simulation parameters is available in the GitHub repository and on shinyapps.io. If you're going to do lots of computations, please run the app locally so that server time remains available for others.
A more comprehensive aggregrate, static simulation showing the effects across many settings of the simulation parameters simultaneously is available on RPubs.
Another Python-based simulation will soon be made available on Binder, but the preliminary code is already in the GitHub repository.
Copyright (c) 2013-2016 by Jona Sassenhagen and Phillip Alday.
Unless otherwise specified, the files contained in this work are licensed under the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.